André Silveira

Data Science Engineering Manager, Core AI

São Paulo, Brazil
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Summary

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Senior
🎓
Top School
André Silveira is a Data Science Engineering Manager specializing in Core AI with a decade of experience turning ML research into production impact across fintech, real estate, and large-scale consumer platforms. He has led teams at VTEX, Nubank, QuintoAndar and Google to build feature stores, deployable modeling pipelines, and experiment-driven pricing and credit policies that directly influence business metrics. Comfortable at the intersection of product and engineering, he blends MLOps, experimental design and Spark/Python engineering to scale models from prototype to production. His background in environmental modeling and early-career work on geospatial and disaster-risk systems gives him a strong foundation in rigorous, data-driven decision making. Currently exploring Generative AI to create product differentiation, he’s known for fostering cross-functional collaboration to accelerate delivery and drive measurable value.
code10 years of coding experience
job13 years of employment as a software developer
bookBachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Universidade Federal de Itajubá
bookTechnician, Information Technology, Technician, Information Technology at Instituto Diocesano de Ensino Santo Antônio, IDESA
bookMaster's Degree, Analysis and Modeling of Environmental Systems, Master's Degree, Analysis and Modeling of Environmental Systems at Universidade Federal de Minas Gerais
languagesPortuguese, English
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Github Skills (11)

package9
etl-framework9
pyspark9
feature-store8
etl8
data-science8
python8
data-engineering7
que6
machine-learning4
large-language-models1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:8 PRs, 9 pushes, 10 branches in 1 year 10 months
repositorioaprender
acsilveira/llm_101_poc

Jun 2024 - Jun 2025

Proof of concept for a 101 application using large language model
Contributions:9 PRs, 6 pushes, 35 branches in 1 year
large-language-models
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